Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Data & Analytics business, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Develop UAT test automation into Front-End automation frameworks, and become POC on newest tools Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience. Hands-on practical experience delivering system design, application development, testing, and operational stability. Experience in automated testing of APIs and UI testing using RestAssured, Selenium or similar technology. Advanced in one or more programming language(s) (e.g., JAVA, Selenium, and Cucumber) Experience with performance testing tools like JMeter, Blazemete Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Proficient knowledge and experience in the following tools: Gradle, Maven, Git, Bit bucket, JIRA, Confluence, JMeter/Load Runner Practical cloud native experience (e.g. AWS) Preferred qualifications, capabilities, and skills Independently design, develop, test, and deliver Test Automation Solutions supporting UAT and UAT testing using Java, Selenium, and Cucumber Working experience of REST and SOAP web services, API Testing/Automation Working knowledge of databases like Trino, Iceberg, Snowflake and Postgres Must be collaborative, able to build strong relationships across the firm, strategize and drive process improvements, and results oriented